Down syndrome detection based on facial features using a geometric descriptor

Jadisha Yarif Ramírez Cornejo; Helio Pedrini; Ariane Machado-Lima; Fátima de Lourdes dos Santos Nunes

doi:10.1117/1.JMI.4.4.044008

12 December 2017 Down syndrome detection based on facial features using a geometric descriptor

Jadisha Yarif Ramírez Cornejo, Helio Pedrini, Ariane Machado-Lima, Fátima de Lourdes dos Santos Nunes

Author Affiliations +

Journal of Medical Imaging, Vol. 4, Issue 4, 044008 (December 2017). https://doi.org/10.1117/1.JMI.4.4.044008

Abstract

Down syndrome is one of the most common genetic disorders caused by chromosome abnormalities in humans. Among other physical characteristics, certain facial features are typically associated in people with Down syndrome. We investigate the problem of Down syndrome detection from a collection of face images. As the main contribution, a compact geometric descriptor is used to extract facial features from the images. Experiments are conducted on an available dataset to demonstrate the performance of the proposed methodology.

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Jadisha Yarif Ramírez Cornejo, Helio Pedrini, Ariane Machado-Lima, and Fátima de Lourdes dos Santos Nunes "Down syndrome detection based on facial features using a geometric descriptor," Journal of Medical Imaging 4(4), 044008 (12 December 2017). https://doi.org/10.1117/1.JMI.4.4.044008

Received: 2 May 2017; Accepted: 20 November 2017; Published: 12 December 2017

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